Dataset statistics
| Number of variables | 39 |
|---|---|
| Number of observations | 10 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.2 KiB |
| Average record size in memory | 324.8 B |
Variable types
| Numeric | 32 |
|---|---|
| Categorical | 7 |
%Time is highly correlated with irr_PH and 35 other fields | High correlation |
irr_PH is highly correlated with %Time and 27 other fields | High correlation |
irr_EC is highly correlated with %Time and 25 other fields | High correlation |
irr_K is highly correlated with %Time and 23 other fields | High correlation |
irr_Ca is highly correlated with %Time and 28 other fields | High correlation |
irr_Mg is highly correlated with %Time and 25 other fields | High correlation |
irr_NO3 is highly correlated with %Time and 26 other fields | High correlation |
irr_Cl is highly correlated with %Time and 25 other fields | High correlation |
irr_SO4 is highly correlated with %Time and 22 other fields | High correlation |
irr_PO4 is highly correlated with %Time and 14 other fields | High correlation |
irr_Fe is highly correlated with %Time and 14 other fields | High correlation |
irr_Mn is highly correlated with %Time and 17 other fields | High correlation |
irr_Zn is highly correlated with %Time and 25 other fields | High correlation |
irr_B is highly correlated with %Time and 26 other fields | High correlation |
irr_Mo is highly correlated with irr_PH and 13 other fields | High correlation |
drain_PH is highly correlated with %Time and 26 other fields | High correlation |
drain_EC is highly correlated with %Time and 25 other fields | High correlation |
drain_K is highly correlated with %Time and 17 other fields | High correlation |
drain_Na is highly correlated with %Time and 29 other fields | High correlation |
drain_Ca is highly correlated with %Time and 22 other fields | High correlation |
drain_Mg is highly correlated with %Time and 22 other fields | High correlation |
drain_Si is highly correlated with %Time and 24 other fields | High correlation |
drain_NO3 is highly correlated with %Time and 28 other fields | High correlation |
drain_Cl is highly correlated with %Time and 27 other fields | High correlation |
drain_SO4 is highly correlated with %Time and 20 other fields | High correlation |
drain_PO4 is highly correlated with %Time and 23 other fields | High correlation |
drain_Fe is highly correlated with %Time and 19 other fields | High correlation |
drain_Mn is highly correlated with %Time and 28 other fields | High correlation |
drain_Zn is highly correlated with %Time and 27 other fields | High correlation |
drain_B is highly correlated with %Time and 26 other fields | High correlation |
drain_Cu is highly correlated with %Time and 24 other fields | High correlation |
drain_Mo is highly correlated with %Time and 21 other fields | High correlation |
irr_NH4 is highly correlated with %Time and 15 other fields | High correlation |
irr_Na is highly correlated with %Time and 17 other fields | High correlation |
irr_Si is highly correlated with %Time and 15 other fields | High correlation |
irr_HCO3 is highly correlated with %Time and 12 other fields | High correlation |
irr_Cu is highly correlated with irr_PH and 14 other fields | High correlation |
drain_NH4 is highly correlated with %Time and 14 other fields | High correlation |
drain_HCO3 is highly correlated with %Time and 25 other fields | High correlation |
%Time is uniformly distributed | Uniform |
%Time has unique values | Unique |
irr_EC has unique values | Unique |
irr_Ca has unique values | Unique |
irr_Mg has unique values | Unique |
irr_NO3 has unique values | Unique |
irr_Cl has unique values | Unique |
irr_PO4 has unique values | Unique |
irr_Fe has unique values | Unique |
drain_PH has unique values | Unique |
drain_K has unique values | Unique |
drain_Ca has unique values | Unique |
drain_Mg has unique values | Unique |
drain_Si has unique values | Unique |
drain_NO3 has unique values | Unique |
drain_Zn has unique values | Unique |
drain_B has unique values | Unique |
Reproduction
| Analysis started | 2022-10-24 20:17:01.769143 |
|---|---|
| Analysis finished | 2022-10-24 20:19:12.170751 |
| Duration | 2 minutes and 10.4 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 43900.1 |
| Minimum | 43836 |
|---|---|
| Maximum | 43963 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 43836 |
|---|---|
| 5-th percentile | 43842.3 |
| Q1 | 43867.75 |
| median | 43900.5 |
| Q3 | 43932.25 |
| 95-th percentile | 43957.6 |
| Maximum | 43963 |
| Range | 127 |
| Interquartile range (IQR) | 64.5 |
Descriptive statistics
| Standard deviation | 43.14433142 |
|---|---|
| Coefficient of variation (CV) | 0.0009827843539 |
| Kurtosis | -1.233734989 |
| Mean | 43900.1 |
| Median Absolute Deviation (MAD) | 36 |
| Skewness | -0.01608843101 |
| Sum | 439001 |
| Variance | 1861.433333 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 43836 | 1 | |
| 43850 | 1 | |
| 43864 | 1 | |
| 43879 | 1 | |
| 43893 | 1 | |
| 43908 | 1 | |
| 43921 | 1 | |
| 43936 | 1 | |
| 43951 | 1 | |
| 43963 | 1 |
| Value | Count | Frequency (%) |
| 43836 | 1 | |
| 43850 | 1 | |
| 43864 | 1 | |
| 43879 | 1 | |
| 43893 | 1 | |
| 43908 | 1 | |
| 43921 | 1 | |
| 43936 | 1 | |
| 43951 | 1 | |
| 43963 | 1 |
| Value | Count | Frequency (%) |
| 43963 | 1 | |
| 43951 | 1 | |
| 43936 | 1 | |
| 43921 | 1 | |
| 43908 | 1 | |
| 43893 | 1 | |
| 43879 | 1 | |
| 43864 | 1 | |
| 43850 | 1 | |
| 43836 | 1 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 80.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.32 |
| Minimum | 4.7 |
|---|---|
| Maximum | 6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 4.7 |
|---|---|
| 5-th percentile | 4.745 |
| Q1 | 4.9 |
| median | 5.35 |
| Q3 | 5.675 |
| 95-th percentile | 5.865 |
| Maximum | 6 |
| Range | 1.3 |
| Interquartile range (IQR) | 0.775 |
Descriptive statistics
| Standard deviation | 0.4442221666 |
|---|---|
| Coefficient of variation (CV) | 0.08350040726 |
| Kurtosis | -1.223528971 |
| Mean | 5.32 |
| Median Absolute Deviation (MAD) | 0.35 |
| Skewness | -0.1182601584 |
| Sum | 53.2 |
| Variance | 0.1973333333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 4.8 | 2 | |
| 5.7 | 2 | |
| 5.3 | 1 | |
| 5.2 | 1 | |
| 4.7 | 1 | |
| 5.4 | 1 | |
| 5.6 | 1 | |
| 6 | 1 |
| Value | Count | Frequency (%) |
| 4.7 | 1 | |
| 4.8 | 2 | |
| 5.2 | 1 | |
| 5.3 | 1 | |
| 5.4 | 1 | |
| 5.6 | 1 | |
| 5.7 | 2 | |
| 6 | 1 |
| Value | Count | Frequency (%) |
| 6 | 1 | |
| 5.7 | 2 | |
| 5.6 | 1 | |
| 5.4 | 1 | |
| 5.3 | 1 | |
| 5.2 | 1 | |
| 4.8 | 2 | |
| 4.7 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.54 |
| Minimum | 2.9 |
|---|---|
| Maximum | 4.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 2.9 |
|---|---|
| 5-th percentile | 2.945 |
| Q1 | 3.175 |
| median | 3.55 |
| Q3 | 3.85 |
| 95-th percentile | 4.165 |
| Maximum | 4.3 |
| Range | 1.4 |
| Interquartile range (IQR) | 0.675 |
Descriptive statistics
| Standard deviation | 0.4550946178 |
|---|---|
| Coefficient of variation (CV) | 0.1285578016 |
| Kurtosis | -0.8461486213 |
| Mean | 3.54 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | 0.1174117959 |
| Sum | 35.4 |
| Variance | 0.2071111111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 4.3 | 1 | |
| 4 | 1 | |
| 3.9 | 1 | |
| 3.7 | 1 | |
| 3.5 | 1 | |
| 3.4 | 1 | |
| 3.1 | 1 | |
| 2.9 | 1 | |
| 3.6 | 1 | |
| 3 | 1 |
| Value | Count | Frequency (%) |
| 2.9 | 1 | |
| 3 | 1 | |
| 3.1 | 1 | |
| 3.4 | 1 | |
| 3.5 | 1 | |
| 3.6 | 1 | |
| 3.7 | 1 | |
| 3.9 | 1 | |
| 4 | 1 | |
| 4.3 | 1 |
| Value | Count | Frequency (%) |
| 4.3 | 1 | |
| 4 | 1 | |
| 3.9 | 1 | |
| 3.7 | 1 | |
| 3.6 | 1 | |
| 3.5 | 1 | |
| 3.4 | 1 | |
| 3.1 | 1 | |
| 3 | 1 | |
| 2.9 | 1 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 1.1 | |
|---|---|
| 1.3 | |
| 1.2 | |
| 0.8 | |
| 1.4 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 30 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 10.0% |
Sample
| 1st row | 1.1 |
|---|---|
| 2nd row | 1.1 |
| 3rd row | 1.3 |
| 4th row | 1.4 |
| 5th row | 1.1 |
Common Values
| Value | Count | Frequency (%) |
| 1.1 | 3 | |
| 1.3 | 2 | |
| 1.2 | 2 | |
| 0.8 | 2 | |
| 1.4 | 1 | 10.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.1 | 3 | |
| 1.3 | 2 | |
| 1.2 | 2 | |
| 0.8 | 2 | |
| 1.4 | 1 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 11 | |
| . | 10 | |
| 3 | 2 | 6.7% |
| 2 | 2 | 6.7% |
| 0 | 2 | 6.7% |
| 8 | 2 | 6.7% |
| 4 | 1 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20 | |
| Other Punctuation | 10 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 11 | |
| 3 | 2 | 10.0% |
| 2 | 2 | 10.0% |
| 0 | 2 | 10.0% |
| 8 | 2 | 10.0% |
| 4 | 1 | 5.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 30 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 11 | |
| . | 10 | |
| 3 | 2 | 6.7% |
| 2 | 2 | 6.7% |
| 0 | 2 | 6.7% |
| 8 | 2 | 6.7% |
| 4 | 1 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 30 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 11 | |
| . | 10 | |
| 3 | 2 | 6.7% |
| 2 | 2 | 6.7% |
| 0 | 2 | 6.7% |
| 8 | 2 | 6.7% |
| 4 | 1 | 3.3% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.91 |
| Minimum | 9.1 |
|---|---|
| Maximum | 15.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 9.1 |
|---|---|
| 5-th percentile | 9.19 |
| Q1 | 11.075 |
| median | 11.45 |
| Q3 | 13.375 |
| 95-th percentile | 14.48 |
| Maximum | 15.2 |
| Range | 6.1 |
| Interquartile range (IQR) | 2.3 |
Descriptive statistics
| Standard deviation | 1.949615347 |
|---|---|
| Coefficient of variation (CV) | 0.163695663 |
| Kurtosis | -0.6577298592 |
| Mean | 11.91 |
| Median Absolute Deviation (MAD) | 1.9 |
| Skewness | 0.09796026118 |
| Sum | 119.1 |
| Variance | 3.801 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 11.3 | 2 | |
| 15.2 | 1 | |
| 11.6 | 1 | |
| 13.3 | 1 | |
| 13.4 | 1 | |
| 11 | 1 | |
| 9.3 | 1 | |
| 13.6 | 1 | |
| 9.1 | 1 |
| Value | Count | Frequency (%) |
| 9.1 | 1 | |
| 9.3 | 1 | |
| 11 | 1 | |
| 11.3 | 2 | |
| 11.6 | 1 | |
| 13.3 | 1 | |
| 13.4 | 1 | |
| 13.6 | 1 | |
| 15.2 | 1 |
| Value | Count | Frequency (%) |
| 15.2 | 1 | |
| 13.6 | 1 | |
| 13.4 | 1 | |
| 13.3 | 1 | |
| 11.6 | 1 | |
| 11.3 | 2 | |
| 11 | 1 | |
| 9.3 | 1 | |
| 9.1 | 1 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 30.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 0.3 | |
|---|---|
| 0.4 | |
| 0.2 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 30 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.3 |
|---|---|
| 2nd row | 0.3 |
| 3rd row | 0.3 |
| 4th row | 0.4 |
| 5th row | 0.4 |
Common Values
| Value | Count | Frequency (%) |
| 0.3 | 6 | |
| 0.4 | 2 | 20.0% |
| 0.2 | 2 | 20.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.3 | 6 | |
| 0.4 | 2 | 20.0% |
| 0.2 | 2 | 20.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 10 | |
| . | 10 | |
| 3 | 6 | |
| 4 | 2 | 6.7% |
| 2 | 2 | 6.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20 | |
| Other Punctuation | 10 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 10 | |
| 3 | 6 | |
| 4 | 2 | 10.0% |
| 2 | 2 | 10.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 30 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 10 | |
| . | 10 | |
| 3 | 6 | |
| 4 | 2 | 6.7% |
| 2 | 2 | 6.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 30 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 10 | |
| . | 10 | |
| 3 | 6 | |
| 4 | 2 | 6.7% |
| 2 | 2 | 6.7% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.84 |
| Minimum | 5.6 |
|---|---|
| Maximum | 10.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 5.6 |
|---|---|
| 5-th percentile | 5.87 |
| Q1 | 6.425 |
| median | 7.9 |
| Q3 | 9.275 |
| 95-th percentile | 10.02 |
| Maximum | 10.2 |
| Range | 4.6 |
| Interquartile range (IQR) | 2.85 |
Descriptive statistics
| Standard deviation | 1.649376987 |
|---|---|
| Coefficient of variation (CV) | 0.2103797177 |
| Kurtosis | -1.526698081 |
| Mean | 7.84 |
| Median Absolute Deviation (MAD) | 1.6 |
| Skewness | 0.1613685002 |
| Sum | 78.4 |
| Variance | 2.720444444 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 9.6 | 1 | |
| 9.8 | 1 | |
| 10.2 | 1 | |
| 8.2 | 1 | |
| 7.6 | 1 | |
| 6.5 | 1 | |
| 5.6 | 1 | |
| 6.4 | 1 | |
| 8.3 | 1 | |
| 6.2 | 1 |
| Value | Count | Frequency (%) |
| 5.6 | 1 | |
| 6.2 | 1 | |
| 6.4 | 1 | |
| 6.5 | 1 | |
| 7.6 | 1 | |
| 8.2 | 1 | |
| 8.3 | 1 | |
| 9.6 | 1 | |
| 9.8 | 1 | |
| 10.2 | 1 |
| Value | Count | Frequency (%) |
| 10.2 | 1 | |
| 9.8 | 1 | |
| 9.6 | 1 | |
| 8.3 | 1 | |
| 8.2 | 1 | |
| 7.6 | 1 | |
| 6.5 | 1 | |
| 6.4 | 1 | |
| 6.2 | 1 | |
| 5.6 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.97 |
| Minimum | 1.9 |
|---|---|
| Maximum | 4.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 1.9 |
|---|---|
| 5-th percentile | 1.945 |
| Q1 | 2.2 |
| median | 2.75 |
| Q3 | 3.425 |
| 95-th percentile | 4.54 |
| Maximum | 4.9 |
| Range | 3 |
| Interquartile range (IQR) | 1.225 |
Descriptive statistics
| Standard deviation | 0.9718824803 |
|---|---|
| Coefficient of variation (CV) | 0.3272331584 |
| Kurtosis | 0.1645679392 |
| Mean | 2.97 |
| Median Absolute Deviation (MAD) | 0.7 |
| Skewness | 0.8878569357 |
| Sum | 29.7 |
| Variance | 0.9445555556 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 4.9 | 1 | |
| 4.1 | 1 | |
| 3.5 | 1 | |
| 2.8 | 1 | |
| 2.5 | 1 | |
| 1.9 | 1 | |
| 2 | 1 | |
| 2.7 | 1 | |
| 3.2 | 1 | |
| 2.1 | 1 |
| Value | Count | Frequency (%) |
| 1.9 | 1 | |
| 2 | 1 | |
| 2.1 | 1 | |
| 2.5 | 1 | |
| 2.7 | 1 | |
| 2.8 | 1 | |
| 3.2 | 1 | |
| 3.5 | 1 | |
| 4.1 | 1 | |
| 4.9 | 1 |
| Value | Count | Frequency (%) |
| 4.9 | 1 | |
| 4.1 | 1 | |
| 3.5 | 1 | |
| 3.2 | 1 | |
| 2.8 | 1 | |
| 2.7 | 1 | |
| 2.5 | 1 | |
| 2.1 | 1 | |
| 2 | 1 | |
| 1.9 | 1 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 30.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 0.09 | |
|---|---|
| 0.01 | |
| 0.009 |
Length
| Max length | 5 |
|---|---|
| Median length | 4 |
| Mean length | 4.3 |
| Min length | 4 |
Characters and Unicode
| Total characters | 43 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.09 |
|---|---|
| 2nd row | 0.09 |
| 3rd row | 0.09 |
| 4th row | 0.09 |
| 5th row | 0.01 |
Common Values
| Value | Count | Frequency (%) |
| 0.09 | 4 | |
| 0.01 | 3 | |
| 0.009 | 3 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.09 | 4 | |
| 0.01 | 3 | |
| 0.009 | 3 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 23 | |
| . | 10 | |
| 9 | 7 | 16.3% |
| 1 | 3 | 7.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 33 | |
| Other Punctuation | 10 | 23.3% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 23 | |
| 9 | 7 | 21.2% |
| 1 | 3 | 9.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 43 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 23 | |
| . | 10 | |
| 9 | 7 | 16.3% |
| 1 | 3 | 7.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 43 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 23 | |
| . | 10 | |
| 9 | 7 | 16.3% |
| 1 | 3 | 7.0% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 17.47 |
| Minimum | 14.1 |
|---|---|
| Maximum | 21.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 14.1 |
|---|---|
| 5-th percentile | 14.82 |
| Q1 | 16.15 |
| median | 16.95 |
| Q3 | 18.225 |
| 95-th percentile | 21.385 |
| Maximum | 21.7 |
| Range | 7.6 |
| Interquartile range (IQR) | 2.075 |
Descriptive statistics
| Standard deviation | 2.350437312 |
|---|---|
| Coefficient of variation (CV) | 0.1345413458 |
| Kurtosis | 0.1034237124 |
| Mean | 17.47 |
| Median Absolute Deviation (MAD) | 1.1 |
| Skewness | 0.78213618 |
| Sum | 174.7 |
| Variance | 5.524555556 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 21.7 | 1 | |
| 21 | 1 | |
| 18.6 | 1 | |
| 16 | 1 | |
| 14.1 | 1 | |
| 17.1 | 1 | |
| 16.9 | 1 | |
| 16.6 | 1 | |
| 17 | 1 | |
| 15.7 | 1 |
| Value | Count | Frequency (%) |
| 14.1 | 1 | |
| 15.7 | 1 | |
| 16 | 1 | |
| 16.6 | 1 | |
| 16.9 | 1 | |
| 17 | 1 | |
| 17.1 | 1 | |
| 18.6 | 1 | |
| 21 | 1 | |
| 21.7 | 1 |
| Value | Count | Frequency (%) |
| 21.7 | 1 | |
| 21 | 1 | |
| 18.6 | 1 | |
| 17.1 | 1 | |
| 17 | 1 | |
| 16.9 | 1 | |
| 16.6 | 1 | |
| 16 | 1 | |
| 15.7 | 1 | |
| 14.1 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.97 |
| Minimum | 0.2 |
|---|---|
| Maximum | 8.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.2 |
|---|---|
| 5-th percentile | 0.245 |
| Q1 | 0.925 |
| median | 4.8 |
| Q3 | 6.375 |
| 95-th percentile | 7.75 |
| Maximum | 8.2 |
| Range | 8 |
| Interquartile range (IQR) | 5.45 |
Descriptive statistics
| Standard deviation | 3.091942935 |
|---|---|
| Coefficient of variation (CV) | 0.7788269357 |
| Kurtosis | -1.858147595 |
| Mean | 3.97 |
| Median Absolute Deviation (MAD) | 2.9 |
| Skewness | -0.1080832334 |
| Sum | 39.7 |
| Variance | 9.560111111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 5.7 | 1 | |
| 5.3 | 1 | |
| 8.2 | 1 | |
| 7.2 | 1 | |
| 6.6 | 1 | |
| 0.2 | 1 | |
| 0.3 | 1 | |
| 1 | 1 | |
| 4.3 | 1 | |
| 0.9 | 1 |
| Value | Count | Frequency (%) |
| 0.2 | 1 | |
| 0.3 | 1 | |
| 0.9 | 1 | |
| 1 | 1 | |
| 4.3 | 1 | |
| 5.3 | 1 | |
| 5.7 | 1 | |
| 6.6 | 1 | |
| 7.2 | 1 | |
| 8.2 | 1 |
| Value | Count | Frequency (%) |
| 8.2 | 1 | |
| 7.2 | 1 | |
| 6.6 | 1 | |
| 5.7 | 1 | |
| 5.3 | 1 | |
| 4.3 | 1 | |
| 1 | 1 | |
| 0.9 | 1 | |
| 0.3 | 1 | |
| 0.2 | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.87 |
| Minimum | 3.5 |
|---|---|
| Maximum | 8.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 3.5 |
|---|---|
| 5-th percentile | 3.59 |
| Q1 | 3.775 |
| median | 4.25 |
| Q3 | 5.475 |
| 95-th percentile | 7.53 |
| Maximum | 8.7 |
| Range | 5.2 |
| Interquartile range (IQR) | 1.7 |
Descriptive statistics
| Standard deviation | 1.600729001 |
|---|---|
| Coefficient of variation (CV) | 0.3286917866 |
| Kurtosis | 3.179582888 |
| Mean | 4.87 |
| Median Absolute Deviation (MAD) | 0.55 |
| Skewness | 1.747988046 |
| Sum | 48.7 |
| Variance | 2.562333333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 3.7 | 2 | |
| 8.7 | 1 | |
| 6.1 | 1 | |
| 4.4 | 1 | |
| 4 | 1 | |
| 3.5 | 1 | |
| 4.8 | 1 | |
| 4.1 | 1 | |
| 5.7 | 1 |
| Value | Count | Frequency (%) |
| 3.5 | 1 | |
| 3.7 | 2 | |
| 4 | 1 | |
| 4.1 | 1 | |
| 4.4 | 1 | |
| 4.8 | 1 | |
| 5.7 | 1 | |
| 6.1 | 1 | |
| 8.7 | 1 |
| Value | Count | Frequency (%) |
| 8.7 | 1 | |
| 6.1 | 1 | |
| 5.7 | 1 | |
| 4.8 | 1 | |
| 4.4 | 1 | |
| 4.1 | 1 | |
| 4 | 1 | |
| 3.7 | 2 | |
| 3.5 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 40.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 0.09 | |
|---|---|
| 0.1 | |
| 0.2 | |
| 0.3 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.6 |
| Min length | 3 |
Characters and Unicode
| Total characters | 36 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 20.0% |
Sample
| 1st row | 0.09 |
|---|---|
| 2nd row | 0.09 |
| 3rd row | 0.09 |
| 4th row | 0.09 |
| 5th row | 0.1 |
Common Values
| Value | Count | Frequency (%) |
| 0.09 | 6 | |
| 0.1 | 2 | 20.0% |
| 0.2 | 1 | 10.0% |
| 0.3 | 1 | 10.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.09 | 6 | |
| 0.1 | 2 | 20.0% |
| 0.2 | 1 | 10.0% |
| 0.3 | 1 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 16 | |
| . | 10 | |
| 9 | 6 | 16.7% |
| 1 | 2 | 5.6% |
| 2 | 1 | 2.8% |
| 3 | 1 | 2.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 26 | |
| Other Punctuation | 10 | 27.8% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 9 | 6 | 23.1% |
| 1 | 2 | 7.7% |
| 2 | 1 | 3.8% |
| 3 | 1 | 3.8% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 36 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 16 | |
| . | 10 | |
| 9 | 6 | 16.7% |
| 1 | 2 | 5.6% |
| 2 | 1 | 2.8% |
| 3 | 1 | 2.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 36 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 16 | |
| . | 10 | |
| 9 | 6 | 16.7% |
| 1 | 2 | 5.6% |
| 2 | 1 | 2.8% |
| 3 | 1 | 2.8% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.946 |
| Minimum | 2.14 |
|---|---|
| Maximum | 4.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 2.14 |
|---|---|
| 5-th percentile | 2.167 |
| Q1 | 2.5775 |
| median | 2.72 |
| Q3 | 3.2875 |
| 95-th percentile | 3.984 |
| Maximum | 4.2 |
| Range | 2.06 |
| Interquartile range (IQR) | 0.71 |
Descriptive statistics
| Standard deviation | 0.6613991903 |
|---|---|
| Coefficient of variation (CV) | 0.2245075323 |
| Kurtosis | -0.2055123409 |
| Mean | 2.946 |
| Median Absolute Deviation (MAD) | 0.525 |
| Skewness | 0.7009467722 |
| Sum | 29.46 |
| Variance | 0.4374488889 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 2.7 | 1 | |
| 2.2 | 1 | |
| 3.3 | 1 | |
| 4.2 | 1 | |
| 3.72 | 1 | |
| 3.25 | 1 | |
| 2.74 | 1 | |
| 2.55 | 1 | |
| 2.14 | 1 | |
| 2.66 | 1 |
| Value | Count | Frequency (%) |
| 2.14 | 1 | |
| 2.2 | 1 | |
| 2.55 | 1 | |
| 2.66 | 1 | |
| 2.7 | 1 | |
| 2.74 | 1 | |
| 3.25 | 1 | |
| 3.3 | 1 | |
| 3.72 | 1 | |
| 4.2 | 1 |
| Value | Count | Frequency (%) |
| 4.2 | 1 | |
| 3.72 | 1 | |
| 3.3 | 1 | |
| 3.25 | 1 | |
| 2.74 | 1 | |
| 2.7 | 1 | |
| 2.66 | 1 | |
| 2.55 | 1 | |
| 2.2 | 1 | |
| 2.14 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.91 |
| Minimum | 19.6 |
|---|---|
| Maximum | 35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 19.6 |
|---|---|
| 5-th percentile | 19.915 |
| Q1 | 23.25 |
| median | 26.55 |
| Q3 | 27.775 |
| 95-th percentile | 32.3 |
| Maximum | 35 |
| Range | 15.4 |
| Interquartile range (IQR) | 4.525 |
Descriptive statistics
| Standard deviation | 4.504183241 |
|---|---|
| Coefficient of variation (CV) | 0.1738395693 |
| Kurtosis | 0.752324174 |
| Mean | 25.91 |
| Median Absolute Deviation (MAD) | 2.5 |
| Skewness | 0.5065897359 |
| Sum | 259.1 |
| Variance | 20.28766667 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 20.3 | 1 | |
| 19.6 | 1 | |
| 26.1 | 1 | |
| 27.1 | 1 | |
| 24 | 1 | |
| 35 | 1 | |
| 28 | 1 | |
| 27 | 1 | |
| 29 | 1 | |
| 23 | 1 |
| Value | Count | Frequency (%) |
| 19.6 | 1 | |
| 20.3 | 1 | |
| 23 | 1 | |
| 24 | 1 | |
| 26.1 | 1 | |
| 27 | 1 | |
| 27.1 | 1 | |
| 28 | 1 | |
| 29 | 1 | |
| 35 | 1 |
| Value | Count | Frequency (%) |
| 35 | 1 | |
| 29 | 1 | |
| 28 | 1 | |
| 27.1 | 1 | |
| 27 | 1 | |
| 26.1 | 1 | |
| 24 | 1 | |
| 23 | 1 | |
| 20.3 | 1 | |
| 19.6 | 1 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 70.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.93 |
| Minimum | 14 |
|---|---|
| Maximum | 24 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 14.495 |
| Q1 | 20 |
| median | 22.65 |
| Q3 | 23.675 |
| 95-th percentile | 24 |
| Maximum | 24 |
| Range | 10 |
| Interquartile range (IQR) | 3.675 |
Descriptive statistics
| Standard deviation | 3.679688997 |
|---|---|
| Coefficient of variation (CV) | 0.1758093166 |
| Kurtosis | 0.1354946919 |
| Mean | 20.93 |
| Median Absolute Deviation (MAD) | 1.35 |
| Skewness | -1.193657048 |
| Sum | 209.3 |
| Variance | 13.54011111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 23 | 2 | |
| 24 | 2 | |
| 20 | 2 | |
| 15.1 | 1 | |
| 14 | 1 | |
| 22.3 | 1 | |
| 23.9 | 1 |
| Value | Count | Frequency (%) |
| 14 | 1 | |
| 15.1 | 1 | |
| 20 | 2 | |
| 22.3 | 1 | |
| 23 | 2 | |
| 23.9 | 1 | |
| 24 | 2 |
| Value | Count | Frequency (%) |
| 24 | 2 | |
| 23.9 | 1 | |
| 23 | 2 | |
| 22.3 | 1 | |
| 20 | 2 | |
| 15.1 | 1 | |
| 14 | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.85 |
| Minimum | 2.3 |
|---|---|
| Maximum | 6.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 2.3 |
|---|---|
| 5-th percentile | 2.435 |
| Q1 | 3.4 |
| median | 3.75 |
| Q3 | 4.25 |
| 95-th percentile | 5.535 |
| Maximum | 6.3 |
| Range | 4 |
| Interquartile range (IQR) | 0.85 |
Descriptive statistics
| Standard deviation | 1.116791038 |
|---|---|
| Coefficient of variation (CV) | 0.2900755942 |
| Kurtosis | 1.930579709 |
| Mean | 3.85 |
| Median Absolute Deviation (MAD) | 0.45 |
| Skewness | 0.9345101508 |
| Sum | 38.5 |
| Variance | 1.247222222 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 3.4 | 2 | |
| 4.3 | 1 | |
| 2.3 | 1 | |
| 2.6 | 1 | |
| 4.6 | 1 | |
| 3.8 | 1 | |
| 3.7 | 1 | |
| 6.3 | 1 | |
| 4.1 | 1 |
| Value | Count | Frequency (%) |
| 2.3 | 1 | |
| 2.6 | 1 | |
| 3.4 | 2 | |
| 3.7 | 1 | |
| 3.8 | 1 | |
| 4.1 | 1 | |
| 4.3 | 1 | |
| 4.6 | 1 | |
| 6.3 | 1 |
| Value | Count | Frequency (%) |
| 6.3 | 1 | |
| 4.6 | 1 | |
| 4.3 | 1 | |
| 4.1 | 1 | |
| 3.8 | 1 | |
| 3.7 | 1 | |
| 3.4 | 2 | |
| 2.6 | 1 | |
| 2.3 | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.6 |
| Minimum | 22 |
|---|---|
| Maximum | 57 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 22 |
|---|---|
| 5-th percentile | 23.35 |
| Q1 | 29.75 |
| median | 39.5 |
| Q3 | 44 |
| 95-th percentile | 52.05 |
| Maximum | 57 |
| Range | 35 |
| Interquartile range (IQR) | 14.25 |
Descriptive statistics
| Standard deviation | 10.71032731 |
|---|---|
| Coefficient of variation (CV) | 0.2848491306 |
| Kurtosis | -0.3457227807 |
| Mean | 37.6 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.2000390344 |
| Sum | 376 |
| Variance | 114.7111111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 41 | 2 | |
| 46 | 1 | |
| 57 | 1 | |
| 45 | 1 | |
| 38 | 1 | |
| 25 | 1 | |
| 22 | 1 | |
| 32 | 1 | |
| 29 | 1 |
| Value | Count | Frequency (%) |
| 22 | 1 | |
| 25 | 1 | |
| 29 | 1 | |
| 32 | 1 | |
| 38 | 1 | |
| 41 | 2 | |
| 45 | 1 | |
| 46 | 1 | |
| 57 | 1 |
| Value | Count | Frequency (%) |
| 57 | 1 | |
| 46 | 1 | |
| 45 | 1 | |
| 41 | 2 | |
| 38 | 1 | |
| 32 | 1 | |
| 29 | 1 | |
| 25 | 1 | |
| 22 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 40.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 0.6 | |
|---|---|
| 0.7 | |
| 0.9 | |
| 0.8 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 30 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 20.0% |
Sample
| 1st row | 0.7 |
|---|---|
| 2nd row | 0.6 |
| 3rd row | 0.6 |
| 4th row | 0.6 |
| 5th row | 0.6 |
Common Values
| Value | Count | Frequency (%) |
| 0.6 | 5 | |
| 0.7 | 3 | |
| 0.9 | 1 | 10.0% |
| 0.8 | 1 | 10.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.6 | 5 | |
| 0.7 | 3 | |
| 0.9 | 1 | 10.0% |
| 0.8 | 1 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 10 | |
| . | 10 | |
| 6 | 5 | |
| 7 | 3 | 10.0% |
| 9 | 1 | 3.3% |
| 8 | 1 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20 | |
| Other Punctuation | 10 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 10 | |
| 6 | 5 | |
| 7 | 3 | 15.0% |
| 9 | 1 | 5.0% |
| 8 | 1 | 5.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 30 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 10 | |
| . | 10 | |
| 6 | 5 | |
| 7 | 3 | 10.0% |
| 9 | 1 | 3.3% |
| 8 | 1 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 30 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 10 | |
| . | 10 | |
| 6 | 5 | |
| 7 | 3 | 10.0% |
| 9 | 1 | 3.3% |
| 8 | 1 | 3.3% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 70.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.346 |
| Minimum | 0.1 |
|---|---|
| Maximum | 0.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.1 |
|---|---|
| 5-th percentile | 0.1765 |
| Q1 | 0.285 |
| median | 0.3 |
| Q3 | 0.4525 |
| 95-th percentile | 0.555 |
| Maximum | 0.6 |
| Range | 0.5 |
| Interquartile range (IQR) | 0.1675 |
Descriptive statistics
| Standard deviation | 0.1453883688 |
|---|---|
| Coefficient of variation (CV) | 0.4201975976 |
| Kurtosis | 0.06523016526 |
| Mean | 0.346 |
| Median Absolute Deviation (MAD) | 0.025 |
| Skewness | 0.3497780391 |
| Sum | 3.46 |
| Variance | 0.02113777778 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0.3 | 3 | |
| 0.5 | 2 | |
| 0.31 | 1 | 10.0% |
| 0.28 | 1 | 10.0% |
| 0.27 | 1 | 10.0% |
| 0.1 | 1 | 10.0% |
| 0.6 | 1 | 10.0% |
| Value | Count | Frequency (%) |
| 0.1 | 1 | 10.0% |
| 0.27 | 1 | 10.0% |
| 0.28 | 1 | 10.0% |
| 0.3 | 3 | |
| 0.31 | 1 | 10.0% |
| 0.5 | 2 | |
| 0.6 | 1 | 10.0% |
| Value | Count | Frequency (%) |
| 0.6 | 1 | 10.0% |
| 0.5 | 2 | |
| 0.31 | 1 | 10.0% |
| 0.3 | 3 | |
| 0.28 | 1 | 10.0% |
| 0.27 | 1 | 10.0% |
| 0.1 | 1 | 10.0% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.69 |
| Minimum | 4.8 |
|---|---|
| Maximum | 7.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 4.8 |
|---|---|
| 5-th percentile | 4.935 |
| Q1 | 5.225 |
| median | 5.45 |
| Q3 | 6.2 |
| 95-th percentile | 6.83 |
| Maximum | 7.1 |
| Range | 2.3 |
| Interquartile range (IQR) | 0.975 |
Descriptive statistics
| Standard deviation | 0.7309810759 |
|---|---|
| Coefficient of variation (CV) | 0.1284676759 |
| Kurtosis | -0.1540740245 |
| Mean | 5.69 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | 0.9150317145 |
| Sum | 56.9 |
| Variance | 0.5343333333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 6.5 | 1 | |
| 7.1 | 1 | |
| 6.4 | 1 | |
| 5.5 | 1 | |
| 5.2 | 1 | |
| 5.6 | 1 | |
| 5.4 | 1 | |
| 5.3 | 1 | |
| 5.1 | 1 | |
| 4.8 | 1 |
| Value | Count | Frequency (%) |
| 4.8 | 1 | |
| 5.1 | 1 | |
| 5.2 | 1 | |
| 5.3 | 1 | |
| 5.4 | 1 | |
| 5.5 | 1 | |
| 5.6 | 1 | |
| 6.4 | 1 | |
| 6.5 | 1 | |
| 7.1 | 1 |
| Value | Count | Frequency (%) |
| 7.1 | 1 | |
| 6.5 | 1 | |
| 6.4 | 1 | |
| 5.6 | 1 | |
| 5.5 | 1 | |
| 5.4 | 1 | |
| 5.3 | 1 | |
| 5.2 | 1 | |
| 5.1 | 1 | |
| 4.8 | 1 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 80.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.39 |
| Minimum | 4.4 |
|---|---|
| Maximum | 7.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 4.4 |
|---|---|
| 5-th percentile | 4.445 |
| Q1 | 4.925 |
| median | 5.15 |
| Q3 | 5.6 |
| 95-th percentile | 6.93 |
| Maximum | 7.2 |
| Range | 2.8 |
| Interquartile range (IQR) | 0.675 |
Descriptive statistics
| Standard deviation | 0.892499611 |
|---|---|
| Coefficient of variation (CV) | 0.1655843434 |
| Kurtosis | 0.6751222177 |
| Mean | 5.39 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | 1.136640393 |
| Sum | 53.9 |
| Variance | 0.7965555556 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 5 | 2 | |
| 5.3 | 2 | |
| 4.5 | 1 | |
| 4.4 | 1 | |
| 5.7 | 1 | |
| 6.6 | 1 | |
| 4.9 | 1 | |
| 7.2 | 1 |
| Value | Count | Frequency (%) |
| 4.4 | 1 | |
| 4.5 | 1 | |
| 4.9 | 1 | |
| 5 | 2 | |
| 5.3 | 2 | |
| 5.7 | 1 | |
| 6.6 | 1 | |
| 7.2 | 1 |
| Value | Count | Frequency (%) |
| 7.2 | 1 | |
| 6.6 | 1 | |
| 5.7 | 1 | |
| 5.3 | 2 | |
| 5 | 2 | |
| 4.9 | 1 | |
| 4.5 | 1 | |
| 4.4 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 0.09 | |
|---|---|
| 0.1 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.9 |
| Min length | 3 |
Characters and Unicode
| Total characters | 39 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 10.0% |
Sample
| 1st row | 0.09 |
|---|---|
| 2nd row | 0.09 |
| 3rd row | 0.09 |
| 4th row | 0.09 |
| 5th row | 0.1 |
Common Values
| Value | Count | Frequency (%) |
| 0.09 | 9 | |
| 0.1 | 1 | 10.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.09 | 9 | |
| 0.1 | 1 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 10 | |
| 9 | 9 | |
| 1 | 1 | 2.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 29 | |
| Other Punctuation | 10 | 25.6% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 19 | |
| 9 | 9 | |
| 1 | 1 | 3.4% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 39 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 10 | |
| 9 | 9 | |
| 1 | 1 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 39 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 10 | |
| 9 | 9 | |
| 1 | 1 | 2.6% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.71 |
| Minimum | 2.2 |
|---|---|
| Maximum | 18.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 2.2 |
|---|---|
| 5-th percentile | 3.235 |
| Q1 | 12.125 |
| median | 13.65 |
| Q3 | 16.525 |
| 95-th percentile | 18.285 |
| Maximum | 18.6 |
| Range | 16.4 |
| Interquartile range (IQR) | 4.4 |
Descriptive statistics
| Standard deviation | 5.432505049 |
|---|---|
| Coefficient of variation (CV) | 0.4274197521 |
| Kurtosis | 0.4385818514 |
| Mean | 12.71 |
| Median Absolute Deviation (MAD) | 2.6 |
| Skewness | -1.104700283 |
| Sum | 127.1 |
| Variance | 29.51211111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 17.1 | 1 | |
| 12.8 | 1 | |
| 2.2 | 1 | |
| 4.5 | 1 | |
| 11.9 | 1 | |
| 14.8 | 1 | |
| 17.9 | 1 | |
| 13.5 | 1 | |
| 13.8 | 1 | |
| 18.6 | 1 |
| Value | Count | Frequency (%) |
| 2.2 | 1 | |
| 4.5 | 1 | |
| 11.9 | 1 | |
| 12.8 | 1 | |
| 13.5 | 1 | |
| 13.8 | 1 | |
| 14.8 | 1 | |
| 17.1 | 1 | |
| 17.9 | 1 | |
| 18.6 | 1 |
| Value | Count | Frequency (%) |
| 18.6 | 1 | |
| 17.9 | 1 | |
| 17.1 | 1 | |
| 14.8 | 1 | |
| 13.8 | 1 | |
| 13.5 | 1 | |
| 12.8 | 1 | |
| 11.9 | 1 | |
| 4.5 | 1 | |
| 2.2 | 1 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 80.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.99 |
| Minimum | 0.6 |
|---|---|
| Maximum | 1.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.6 |
|---|---|
| 5-th percentile | 0.645 |
| Q1 | 0.8 |
| median | 0.95 |
| Q3 | 1.1 |
| 95-th percentile | 1.455 |
| Maximum | 1.5 |
| Range | 0.9 |
| Interquartile range (IQR) | 0.3 |
Descriptive statistics
| Standard deviation | 0.2923088169 |
|---|---|
| Coefficient of variation (CV) | 0.2952614312 |
| Kurtosis | -0.4804244543 |
| Mean | 0.99 |
| Median Absolute Deviation (MAD) | 0.15 |
| Skewness | 0.5898957525 |
| Sum | 9.9 |
| Variance | 0.08544444444 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 1.1 | 2 | |
| 0.8 | 2 | |
| 0.6 | 1 | |
| 1 | 1 | |
| 1.4 | 1 | |
| 1.5 | 1 | |
| 0.7 | 1 | |
| 0.9 | 1 |
| Value | Count | Frequency (%) |
| 0.6 | 1 | |
| 0.7 | 1 | |
| 0.8 | 2 | |
| 0.9 | 1 | |
| 1 | 1 | |
| 1.1 | 2 | |
| 1.4 | 1 | |
| 1.5 | 1 |
| Value | Count | Frequency (%) |
| 1.5 | 1 | |
| 1.4 | 1 | |
| 1.1 | 2 | |
| 1 | 1 | |
| 0.9 | 1 | |
| 0.8 | 2 | |
| 0.7 | 1 | |
| 0.6 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.38 |
| Minimum | 10.6 |
|---|---|
| Maximum | 22.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 10.6 |
|---|---|
| 5-th percentile | 11.86 |
| Q1 | 13.675 |
| median | 15 |
| Q3 | 18.875 |
| 95-th percentile | 22.34 |
| Maximum | 22.7 |
| Range | 12.1 |
| Interquartile range (IQR) | 5.2 |
Descriptive statistics
| Standard deviation | 3.957215632 |
|---|---|
| Coefficient of variation (CV) | 0.2415882559 |
| Kurtosis | -0.8815233298 |
| Mean | 16.38 |
| Median Absolute Deviation (MAD) | 2.55 |
| Skewness | 0.423591195 |
| Sum | 163.8 |
| Variance | 15.65955556 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 10.6 | 1 | |
| 13.5 | 1 | |
| 18.5 | 1 | |
| 21.9 | 1 | |
| 22.7 | 1 | |
| 14.2 | 1 | |
| 13.4 | 1 | |
| 15.1 | 1 | |
| 14.9 | 1 | |
| 19 | 1 |
| Value | Count | Frequency (%) |
| 10.6 | 1 | |
| 13.4 | 1 | |
| 13.5 | 1 | |
| 14.2 | 1 | |
| 14.9 | 1 | |
| 15.1 | 1 | |
| 18.5 | 1 | |
| 19 | 1 | |
| 21.9 | 1 | |
| 22.7 | 1 |
| Value | Count | Frequency (%) |
| 22.7 | 1 | |
| 21.9 | 1 | |
| 19 | 1 | |
| 18.5 | 1 | |
| 15.1 | 1 | |
| 14.9 | 1 | |
| 14.2 | 1 | |
| 13.5 | 1 | |
| 13.4 | 1 | |
| 10.6 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.95 |
| Minimum | 5.1 |
|---|---|
| Maximum | 11.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 5.1 |
|---|---|
| 5-th percentile | 5.505 |
| Q1 | 6.45 |
| median | 7.4 |
| Q3 | 9.85 |
| 95-th percentile | 10.65 |
| Maximum | 11.1 |
| Range | 6 |
| Interquartile range (IQR) | 3.4 |
Descriptive statistics
| Standard deviation | 2.070560847 |
|---|---|
| Coefficient of variation (CV) | 0.2604479053 |
| Kurtosis | -1.562176491 |
| Mean | 7.95 |
| Median Absolute Deviation (MAD) | 1.7 |
| Skewness | 0.2215474543 |
| Sum | 79.5 |
| Variance | 4.287222222 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 6.7 | 1 | |
| 11.1 | 1 | |
| 10 | 1 | |
| 10.1 | 1 | |
| 9.4 | 1 | |
| 6 | 1 | |
| 5.1 | 1 | |
| 6.6 | 1 | |
| 6.4 | 1 | |
| 8.1 | 1 |
| Value | Count | Frequency (%) |
| 5.1 | 1 | |
| 6 | 1 | |
| 6.4 | 1 | |
| 6.6 | 1 | |
| 6.7 | 1 | |
| 8.1 | 1 | |
| 9.4 | 1 | |
| 10 | 1 | |
| 10.1 | 1 | |
| 11.1 | 1 |
| Value | Count | Frequency (%) |
| 11.1 | 1 | |
| 10.1 | 1 | |
| 10 | 1 | |
| 9.4 | 1 | |
| 8.1 | 1 | |
| 6.7 | 1 | |
| 6.6 | 1 | |
| 6.4 | 1 | |
| 6 | 1 | |
| 5.1 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.766 |
| Minimum | 0.09 |
|---|---|
| Maximum | 1.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.09 |
|---|---|
| 5-th percentile | 0.1845 |
| Q1 | 0.5925 |
| median | 0.795 |
| Q3 | 1.0375 |
| 95-th percentile | 1.282 |
| Maximum | 1.3 |
| Range | 1.21 |
| Interquartile range (IQR) | 0.445 |
Descriptive statistics
| Standard deviation | 0.3922640834 |
|---|---|
| Coefficient of variation (CV) | 0.5120941036 |
| Kurtosis | -0.535990217 |
| Mean | 0.766 |
| Median Absolute Deviation (MAD) | 0.26 |
| Skewness | -0.2448149317 |
| Sum | 7.66 |
| Variance | 0.1538711111 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0.09 | 1 | |
| 0.3 | 1 | |
| 0.6 | 1 | |
| 1.3 | 1 | |
| 1.26 | 1 | |
| 0.82 | 1 | |
| 0.59 | 1 | |
| 0.79 | 1 | |
| 0.8 | 1 | |
| 1.11 | 1 |
| Value | Count | Frequency (%) |
| 0.09 | 1 | |
| 0.3 | 1 | |
| 0.59 | 1 | |
| 0.6 | 1 | |
| 0.79 | 1 | |
| 0.8 | 1 | |
| 0.82 | 1 | |
| 1.11 | 1 | |
| 1.26 | 1 | |
| 1.3 | 1 |
| Value | Count | Frequency (%) |
| 1.3 | 1 | |
| 1.26 | 1 | |
| 1.11 | 1 | |
| 0.82 | 1 | |
| 0.8 | 1 | |
| 0.79 | 1 | |
| 0.6 | 1 | |
| 0.59 | 1 | |
| 0.3 | 1 | |
| 0.09 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.44 |
| Minimum | 6.5 |
|---|---|
| Maximum | 46.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 6.5 |
|---|---|
| 5-th percentile | 8.66 |
| Q1 | 14.35 |
| median | 22.25 |
| Q3 | 28.675 |
| 95-th percentile | 38.9 |
| Maximum | 46.1 |
| Range | 39.6 |
| Interquartile range (IQR) | 14.325 |
Descriptive statistics
| Standard deviation | 11.48014711 |
|---|---|
| Coefficient of variation (CV) | 0.5115930087 |
| Kurtosis | 0.771305657 |
| Mean | 22.44 |
| Median Absolute Deviation (MAD) | 7.4 |
| Skewness | 0.7105637166 |
| Sum | 224.4 |
| Variance | 131.7937778 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 15.7 | 1 | |
| 6.5 | 1 | |
| 11.3 | 1 | |
| 13.9 | 1 | |
| 23.6 | 1 | |
| 20.9 | 1 | |
| 27.1 | 1 | |
| 30.1 | 1 | |
| 29.2 | 1 | |
| 46.1 | 1 |
| Value | Count | Frequency (%) |
| 6.5 | 1 | |
| 11.3 | 1 | |
| 13.9 | 1 | |
| 15.7 | 1 | |
| 20.9 | 1 | |
| 23.6 | 1 | |
| 27.1 | 1 | |
| 29.2 | 1 | |
| 30.1 | 1 | |
| 46.1 | 1 |
| Value | Count | Frequency (%) |
| 46.1 | 1 | |
| 30.1 | 1 | |
| 29.2 | 1 | |
| 27.1 | 1 | |
| 23.6 | 1 | |
| 20.9 | 1 | |
| 15.7 | 1 | |
| 13.9 | 1 | |
| 11.3 | 1 | |
| 6.5 | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.558 |
| Minimum | 0.09 |
|---|---|
| Maximum | 21.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.09 |
|---|---|
| 5-th percentile | 0.09 |
| Q1 | 0.125 |
| median | 5.95 |
| Q3 | 11.5 |
| 95-th percentile | 20.66 |
| Maximum | 21.2 |
| Range | 21.11 |
| Interquartile range (IQR) | 11.375 |
Descriptive statistics
| Standard deviation | 8.154906907 |
|---|---|
| Coefficient of variation (CV) | 1.078976833 |
| Kurtosis | -0.816584991 |
| Mean | 7.558 |
| Median Absolute Deviation (MAD) | 5.855 |
| Skewness | 0.7391924618 |
| Sum | 75.58 |
| Variance | 66.50250667 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0.09 | 2 | |
| 7.6 | 1 | |
| 10 | 1 | |
| 12 | 1 | |
| 20 | 1 | |
| 21.2 | 1 | |
| 4.3 | 1 | |
| 0.1 | 1 | |
| 0.2 | 1 |
| Value | Count | Frequency (%) |
| 0.09 | 2 | |
| 0.1 | 1 | |
| 0.2 | 1 | |
| 4.3 | 1 | |
| 7.6 | 1 | |
| 10 | 1 | |
| 12 | 1 | |
| 20 | 1 | |
| 21.2 | 1 |
| Value | Count | Frequency (%) |
| 21.2 | 1 | |
| 20 | 1 | |
| 12 | 1 | |
| 10 | 1 | |
| 7.6 | 1 | |
| 4.3 | 1 | |
| 0.2 | 1 | |
| 0.1 | 1 | |
| 0.09 | 2 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.6 |
| Minimum | 9.9 |
|---|---|
| Maximum | 23.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 9.9 |
|---|---|
| 5-th percentile | 10.395 |
| Q1 | 11.375 |
| median | 12.3 |
| Q3 | 13.425 |
| 95-th percentile | 20.745 |
| Maximum | 23.4 |
| Range | 13.5 |
| Interquartile range (IQR) | 2.05 |
Descriptive statistics
| Standard deviation | 4.007492982 |
|---|---|
| Coefficient of variation (CV) | 0.2946686016 |
| Kurtosis | 3.900855525 |
| Mean | 13.6 |
| Median Absolute Deviation (MAD) | 1.1 |
| Skewness | 1.958711508 |
| Sum | 136 |
| Variance | 16.06 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 12.3 | 2 | |
| 13.5 | 1 | |
| 23.4 | 1 | |
| 17.5 | 1 | |
| 13.2 | 1 | |
| 11.6 | 1 | |
| 11 | 1 | |
| 11.3 | 1 | |
| 9.9 | 1 |
| Value | Count | Frequency (%) |
| 9.9 | 1 | |
| 11 | 1 | |
| 11.3 | 1 | |
| 11.6 | 1 | |
| 12.3 | 2 | |
| 13.2 | 1 | |
| 13.5 | 1 | |
| 17.5 | 1 | |
| 23.4 | 1 |
| Value | Count | Frequency (%) |
| 23.4 | 1 | |
| 17.5 | 1 | |
| 13.5 | 1 | |
| 13.2 | 1 | |
| 12.3 | 2 | |
| 11.6 | 1 | |
| 11.3 | 1 | |
| 11 | 1 | |
| 9.9 | 1 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 208.0 B |
| 0.09 | |
|---|---|
| 0.1 | |
| 1.4 | |
| 1.3 | |
| 1.0 |
Length
| Max length | 4 |
|---|---|
| Median length | 3.5 |
| Mean length | 3.5 |
| Min length | 3 |
Characters and Unicode
| Total characters | 35 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 30.0% |
Sample
| 1st row | 1.4 |
|---|---|
| 2nd row | 1.3 |
| 3rd row | 1.0 |
| 4th row | 0.1 |
| 5th row | 0.1 |
Common Values
| Value | Count | Frequency (%) |
| 0.09 | 5 | |
| 0.1 | 2 | 20.0% |
| 1.4 | 1 | 10.0% |
| 1.3 | 1 | 10.0% |
| 1.0 | 1 | 10.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.09 | 5 | |
| 0.1 | 2 | 20.0% |
| 1.4 | 1 | 10.0% |
| 1.3 | 1 | 10.0% |
| 1.0 | 1 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13 | |
| . | 10 | |
| 9 | 5 | 14.3% |
| 1 | 5 | 14.3% |
| 4 | 1 | 2.9% |
| 3 | 1 | 2.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 25 | |
| Other Punctuation | 10 | 28.6% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 9 | 5 | 20.0% |
| 1 | 5 | 20.0% |
| 4 | 1 | 4.0% |
| 3 | 1 | 4.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 35 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 13 | |
| . | 10 | |
| 9 | 5 | 14.3% |
| 1 | 5 | 14.3% |
| 4 | 1 | 2.9% |
| 3 | 1 | 2.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 35 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 13 | |
| . | 10 | |
| 9 | 5 | 14.3% |
| 1 | 5 | 14.3% |
| 4 | 1 | 2.9% |
| 3 | 1 | 2.9% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.833 |
| Minimum | 0.42 |
|---|---|
| Maximum | 9.32 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.42 |
|---|---|
| 5-th percentile | 0.816 |
| Q1 | 2.8 |
| median | 5.795 |
| Q3 | 6.0725 |
| 95-th percentile | 8.0105 |
| Maximum | 9.32 |
| Range | 8.9 |
| Interquartile range (IQR) | 3.2725 |
Descriptive statistics
| Standard deviation | 2.740807059 |
|---|---|
| Coefficient of variation (CV) | 0.5671026399 |
| Kurtosis | -0.4038227898 |
| Mean | 4.833 |
| Median Absolute Deviation (MAD) | 0.605 |
| Skewness | -0.3567588698 |
| Sum | 48.33 |
| Variance | 7.512023333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 5.99 | 2 | |
| 2 | 1 | |
| 0.42 | 1 | |
| 1.3 | 1 | |
| 6.1 | 1 | |
| 9.32 | 1 | |
| 6.41 | 1 | |
| 5.6 | 1 | |
| 5.2 | 1 |
| Value | Count | Frequency (%) |
| 0.42 | 1 | |
| 1.3 | 1 | |
| 2 | 1 | |
| 5.2 | 1 | |
| 5.6 | 1 | |
| 5.99 | 2 | |
| 6.1 | 1 | |
| 6.41 | 1 | |
| 9.32 | 1 |
| Value | Count | Frequency (%) |
| 9.32 | 1 | |
| 6.41 | 1 | |
| 6.1 | 1 | |
| 5.99 | 2 | |
| 5.6 | 1 | |
| 5.2 | 1 | |
| 2 | 1 | |
| 1.3 | 1 | |
| 0.42 | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.26 |
| Minimum | 18.3 |
|---|---|
| Maximum | 53 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 18.3 |
|---|---|
| 5-th percentile | 19.56 |
| Q1 | 25.05 |
| median | 28.9 |
| Q3 | 34 |
| 95-th percentile | 44.9 |
| Maximum | 53 |
| Range | 34.7 |
| Interquartile range (IQR) | 8.95 |
Descriptive statistics
| Standard deviation | 9.664505506 |
|---|---|
| Coefficient of variation (CV) | 0.3193822044 |
| Kurtosis | 3.096910297 |
| Mean | 30.26 |
| Median Absolute Deviation (MAD) | 5.3 |
| Skewness | 1.422028345 |
| Sum | 302.6 |
| Variance | 93.40266667 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 35 | 2 | |
| 27.8 | 1 | |
| 21.1 | 1 | |
| 18.3 | 1 | |
| 24.4 | 1 | |
| 31 | 1 | |
| 30 | 1 | |
| 27 | 1 | |
| 53 | 1 |
| Value | Count | Frequency (%) |
| 18.3 | 1 | |
| 21.1 | 1 | |
| 24.4 | 1 | |
| 27 | 1 | |
| 27.8 | 1 | |
| 30 | 1 | |
| 31 | 1 | |
| 35 | 2 | |
| 53 | 1 |
| Value | Count | Frequency (%) |
| 53 | 1 | |
| 35 | 2 | |
| 31 | 1 | |
| 30 | 1 | |
| 27.8 | 1 | |
| 27 | 1 | |
| 24.4 | 1 | |
| 21.1 | 1 | |
| 18.3 | 1 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 90.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.49 |
| Minimum | 0.8 |
|---|---|
| Maximum | 27 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.8 |
|---|---|
| 5-th percentile | 0.935 |
| Q1 | 5.3 |
| median | 10.4 |
| Q3 | 14.5 |
| 95-th percentile | 21.6 |
| Maximum | 27 |
| Range | 26.2 |
| Interquartile range (IQR) | 9.2 |
Descriptive statistics
| Standard deviation | 7.789087809 |
|---|---|
| Coefficient of variation (CV) | 0.7425250532 |
| Kurtosis | 1.181411327 |
| Mean | 10.49 |
| Median Absolute Deviation (MAD) | 4.6 |
| Skewness | 0.8008789158 |
| Sum | 104.9 |
| Variance | 60.66988889 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 15 | 2 | |
| 7.7 | 1 | |
| 0.8 | 1 | |
| 1.1 | 1 | |
| 4.5 | 1 | |
| 11 | 1 | |
| 9.8 | 1 | |
| 13 | 1 | |
| 27 | 1 |
| Value | Count | Frequency (%) |
| 0.8 | 1 | |
| 1.1 | 1 | |
| 4.5 | 1 | |
| 7.7 | 1 | |
| 9.8 | 1 | |
| 11 | 1 | |
| 13 | 1 | |
| 15 | 2 | |
| 27 | 1 |
| Value | Count | Frequency (%) |
| 27 | 1 | |
| 15 | 2 | |
| 13 | 1 | |
| 11 | 1 | |
| 9.8 | 1 | |
| 7.7 | 1 | |
| 4.5 | 1 | |
| 1.1 | 1 | |
| 0.8 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.5 |
| Minimum | 3.7 |
|---|---|
| Maximum | 13 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 3.7 |
|---|---|
| 5-th percentile | 3.745 |
| Q1 | 5.875 |
| median | 7.35 |
| Q3 | 9.2 |
| 95-th percentile | 11.605 |
| Maximum | 13 |
| Range | 9.3 |
| Interquartile range (IQR) | 3.325 |
Descriptive statistics
| Standard deviation | 2.881357705 |
|---|---|
| Coefficient of variation (CV) | 0.3841810273 |
| Kurtosis | 0.01073184438 |
| Mean | 7.5 |
| Median Absolute Deviation (MAD) | 1.9 |
| Skewness | 0.4375739294 |
| Sum | 75 |
| Variance | 8.302222222 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 5.7 | 1 | |
| 6.4 | 1 | |
| 3.7 | 1 | |
| 3.8 | 1 | |
| 6.5 | 1 | |
| 8.2 | 1 | |
| 9.5 | 1 | |
| 8.3 | 1 | |
| 9.9 | 1 | |
| 13 | 1 |
| Value | Count | Frequency (%) |
| 3.7 | 1 | |
| 3.8 | 1 | |
| 5.7 | 1 | |
| 6.4 | 1 | |
| 6.5 | 1 | |
| 8.2 | 1 | |
| 8.3 | 1 | |
| 9.5 | 1 | |
| 9.9 | 1 | |
| 13 | 1 |
| Value | Count | Frequency (%) |
| 13 | 1 | |
| 9.9 | 1 | |
| 9.5 | 1 | |
| 8.3 | 1 | |
| 8.2 | 1 | |
| 6.5 | 1 | |
| 6.4 | 1 | |
| 5.7 | 1 | |
| 3.8 | 1 | |
| 3.7 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 76.2 |
| Minimum | 37 |
|---|---|
| Maximum | 134 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 37 |
|---|---|
| 5-th percentile | 42.4 |
| Q1 | 57 |
| median | 67 |
| Q3 | 91.25 |
| 95-th percentile | 124.55 |
| Maximum | 134 |
| Range | 97 |
| Interquartile range (IQR) | 34.25 |
Descriptive statistics
| Standard deviation | 30.16915275 |
|---|---|
| Coefficient of variation (CV) | 0.3959206398 |
| Kurtosis | -0.05984780887 |
| Mean | 76.2 |
| Median Absolute Deviation (MAD) | 18.5 |
| Skewness | 0.7797044809 |
| Sum | 762 |
| Variance | 910.1777778 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 49 | 1 | |
| 56 | 1 | |
| 93 | 1 | |
| 134 | 1 | |
| 113 | 1 | |
| 60 | 1 | |
| 37 | 1 | |
| 66 | 1 | |
| 68 | 1 | |
| 86 | 1 |
| Value | Count | Frequency (%) |
| 37 | 1 | |
| 49 | 1 | |
| 56 | 1 | |
| 60 | 1 | |
| 66 | 1 | |
| 68 | 1 | |
| 86 | 1 | |
| 93 | 1 | |
| 113 | 1 | |
| 134 | 1 |
| Value | Count | Frequency (%) |
| 134 | 1 | |
| 113 | 1 | |
| 93 | 1 | |
| 86 | 1 | |
| 68 | 1 | |
| 66 | 1 | |
| 60 | 1 | |
| 56 | 1 | |
| 49 | 1 | |
| 37 | 1 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 60.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9 |
| Minimum | 0.5 |
|---|---|
| Maximum | 1.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.5 |
|---|---|
| 5-th percentile | 0.59 |
| Q1 | 0.8 |
| median | 0.95 |
| Q3 | 1.075 |
| 95-th percentile | 1.1 |
| Maximum | 1.1 |
| Range | 0.6 |
| Interquartile range (IQR) | 0.275 |
Descriptive statistics
| Standard deviation | 0.2 |
|---|---|
| Coefficient of variation (CV) | 0.2222222222 |
| Kurtosis | 0.08035714286 |
| Mean | 0.9 |
| Median Absolute Deviation (MAD) | 0.15 |
| Skewness | -0.8333333333 |
| Sum | 9 |
| Variance | 0.04 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 1.1 | 3 | |
| 1 | 2 | |
| 0.8 | 2 | |
| 0.9 | 1 | 10.0% |
| 0.7 | 1 | 10.0% |
| 0.5 | 1 | 10.0% |
| Value | Count | Frequency (%) |
| 0.5 | 1 | 10.0% |
| 0.7 | 1 | 10.0% |
| 0.8 | 2 | |
| 0.9 | 1 | 10.0% |
| 1 | 2 | |
| 1.1 | 3 |
| Value | Count | Frequency (%) |
| 1.1 | 3 | |
| 1 | 2 | |
| 0.9 | 1 | 10.0% |
| 0.8 | 2 | |
| 0.7 | 1 | 10.0% |
| 0.5 | 1 | 10.0% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 60.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.272 |
| Minimum | 0.09 |
|---|---|
| Maximum | 0.94 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 208.0 B |
Quantile statistics
| Minimum | 0.09 |
|---|---|
| 5-th percentile | 0.09 |
| Q1 | 0.0925 |
| median | 0.1 |
| Q3 | 0.385 |
| 95-th percentile | 0.7915 |
| Maximum | 0.94 |
| Range | 0.85 |
| Interquartile range (IQR) | 0.2925 |
Descriptive statistics
| Standard deviation | 0.2996219841 |
|---|---|
| Coefficient of variation (CV) | 1.101551412 |
| Kurtosis | 1.619339145 |
| Mean | 0.272 |
| Median Absolute Deviation (MAD) | 0.01 |
| Skewness | 1.591606479 |
| Sum | 2.72 |
| Variance | 0.08977333333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0.1 | 3 | |
| 0.09 | 3 | |
| 0.61 | 1 | 10.0% |
| 0.94 | 1 | 10.0% |
| 0.47 | 1 | 10.0% |
| 0.13 | 1 | 10.0% |
| Value | Count | Frequency (%) |
| 0.09 | 3 | |
| 0.1 | 3 | |
| 0.13 | 1 | 10.0% |
| 0.47 | 1 | 10.0% |
| 0.61 | 1 | 10.0% |
| 0.94 | 1 | 10.0% |
| Value | Count | Frequency (%) |
| 0.94 | 1 | 10.0% |
| 0.61 | 1 | 10.0% |
| 0.47 | 1 | 10.0% |
| 0.13 | 1 | 10.0% |
| 0.1 | 3 | |
| 0.09 | 3 |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| %Time | irr_PH | irr_EC | irr_NH4 | irr_K | irr_Na | irr_Ca | irr_Mg | irr_Si | irr_NO3 | irr_Cl | irr_SO4 | irr_HCO3 | irr_PO4 | irr_Fe | irr_Mn | irr_Zn | irr_B | irr_Cu | irr_Mo | drain_PH | drain_EC | drain_NH4 | drain_K | drain_Na | drain_Ca | drain_Mg | drain_Si | drain_NO3 | drain_Cl | drain_SO4 | drain_HCO3 | drain_PO4 | drain_Fe | drain_Mn | drain_Zn | drain_B | drain_Cu | drain_Mo | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 43836 | 5.3 | 4.3 | 1.1 | 15.2 | 0.3 | 9.6 | 4.9 | 0.090 | 21.7 | 5.7 | 8.7 | 0.09 | 2.70 | 20.3 | 15.1 | 4.3 | 41.0 | 0.7 | 0.50 | 6.5 | 4.5 | 0.09 | 17.1 | 0.6 | 10.6 | 6.7 | 0.09 | 15.7 | 7.60 | 13.5 | 1.40 | 2.00 | 27.8 | 7.7 | 5.7 | 49.0 | 0.9 | 0.61 |
| 1 | 43850 | 5.2 | 4.0 | 1.1 | 11.3 | 0.3 | 9.8 | 4.1 | 0.090 | 21.0 | 5.3 | 6.1 | 0.09 | 2.20 | 19.6 | 14.0 | 2.3 | 46.0 | 0.6 | 0.31 | 7.1 | 5.0 | 0.09 | 12.8 | 1.1 | 13.5 | 11.1 | 0.30 | 6.5 | 10.00 | 23.4 | 1.30 | 0.42 | 21.1 | 0.8 | 6.4 | 56.0 | 0.7 | 0.94 |
| 2 | 43864 | 4.8 | 3.9 | 1.3 | 11.6 | 0.3 | 10.2 | 3.5 | 0.090 | 18.6 | 8.2 | 4.4 | 0.09 | 3.30 | 26.1 | 22.3 | 2.6 | 57.0 | 0.6 | 0.28 | 6.4 | 4.4 | 0.09 | 2.2 | 1.0 | 18.5 | 10.0 | 0.60 | 11.3 | 12.00 | 17.5 | 1.00 | 1.30 | 18.3 | 1.1 | 3.7 | 93.0 | 0.5 | 0.47 |
| 3 | 43879 | 4.8 | 3.7 | 1.4 | 13.3 | 0.4 | 8.2 | 2.8 | 0.090 | 16.0 | 7.2 | 4.0 | 0.09 | 4.20 | 27.1 | 23.9 | 3.4 | 45.0 | 0.6 | 0.27 | 5.5 | 5.7 | 0.09 | 4.5 | 1.4 | 21.9 | 10.1 | 1.30 | 13.9 | 20.00 | 13.2 | 0.10 | 6.10 | 24.4 | 4.5 | 3.8 | 134.0 | 1.0 | 0.13 |
| 4 | 43893 | 4.7 | 3.5 | 1.1 | 11.3 | 0.4 | 7.6 | 2.5 | 0.010 | 14.1 | 6.6 | 3.5 | 0.10 | 3.72 | 24.0 | 23.0 | 3.4 | 38.0 | 0.6 | 0.30 | 5.2 | 6.6 | 0.10 | 11.9 | 1.5 | 22.7 | 9.4 | 1.26 | 23.6 | 21.20 | 11.6 | 0.10 | 9.32 | 31.0 | 11.0 | 6.5 | 113.0 | 1.1 | 0.10 |
| 5 | 43908 | 5.4 | 3.4 | 1.3 | 13.4 | 0.3 | 6.5 | 1.9 | 0.009 | 17.1 | 0.2 | 4.8 | 0.20 | 3.25 | 35.0 | 24.0 | 4.6 | 25.0 | 0.7 | 0.30 | 5.6 | 5.0 | 0.09 | 14.8 | 1.1 | 14.2 | 6.0 | 0.82 | 20.9 | 4.30 | 12.3 | 0.09 | 6.41 | 35.0 | 9.8 | 8.2 | 60.0 | 1.1 | 0.10 |
| 6 | 43921 | 5.6 | 3.1 | 1.2 | 11.0 | 0.2 | 5.6 | 2.0 | 0.009 | 16.9 | 0.3 | 4.1 | 0.10 | 2.74 | 28.0 | 20.0 | 3.8 | 22.0 | 0.6 | 0.30 | 5.4 | 5.3 | 0.09 | 17.9 | 0.7 | 13.4 | 5.1 | 0.59 | 27.1 | 0.10 | 11.0 | 0.09 | 5.60 | 30.0 | 13.0 | 9.5 | 37.0 | 1.1 | 0.10 |
| 7 | 43936 | 5.7 | 2.9 | 1.2 | 9.3 | 0.3 | 6.4 | 2.7 | 0.009 | 16.6 | 1.0 | 3.7 | 0.09 | 2.55 | 27.0 | 20.0 | 3.7 | 32.0 | 0.7 | 0.10 | 5.3 | 5.3 | 0.09 | 13.5 | 0.8 | 15.1 | 6.6 | 0.79 | 30.1 | 0.09 | 11.3 | 0.09 | 5.99 | 27.0 | 15.0 | 8.3 | 66.0 | 0.8 | 0.09 |
| 8 | 43951 | 6.0 | 3.6 | 0.8 | 13.6 | 0.3 | 8.3 | 3.2 | 0.010 | 17.0 | 4.3 | 5.7 | 0.30 | 2.14 | 29.0 | 23.0 | 6.3 | 41.0 | 0.9 | 0.60 | 5.1 | 4.9 | 0.09 | 13.8 | 0.8 | 14.9 | 6.4 | 0.80 | 29.2 | 0.09 | 9.9 | 0.09 | 5.20 | 35.0 | 15.0 | 9.9 | 68.0 | 0.8 | 0.09 |
| 9 | 43963 | 5.7 | 3.0 | 0.8 | 9.1 | 0.2 | 6.2 | 2.1 | 0.010 | 15.7 | 0.9 | 3.7 | 0.09 | 2.66 | 23.0 | 24.0 | 4.1 | 29.0 | 0.8 | 0.50 | 4.8 | 7.2 | 0.09 | 18.6 | 0.9 | 19.0 | 8.1 | 1.11 | 46.1 | 0.20 | 12.3 | 0.09 | 5.99 | 53.0 | 27.0 | 13.0 | 86.0 | 1.0 | 0.09 |
Last rows
| %Time | irr_PH | irr_EC | irr_NH4 | irr_K | irr_Na | irr_Ca | irr_Mg | irr_Si | irr_NO3 | irr_Cl | irr_SO4 | irr_HCO3 | irr_PO4 | irr_Fe | irr_Mn | irr_Zn | irr_B | irr_Cu | irr_Mo | drain_PH | drain_EC | drain_NH4 | drain_K | drain_Na | drain_Ca | drain_Mg | drain_Si | drain_NO3 | drain_Cl | drain_SO4 | drain_HCO3 | drain_PO4 | drain_Fe | drain_Mn | drain_Zn | drain_B | drain_Cu | drain_Mo | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 43836 | 5.3 | 4.3 | 1.1 | 15.2 | 0.3 | 9.6 | 4.9 | 0.090 | 21.7 | 5.7 | 8.7 | 0.09 | 2.70 | 20.3 | 15.1 | 4.3 | 41.0 | 0.7 | 0.50 | 6.5 | 4.5 | 0.09 | 17.1 | 0.6 | 10.6 | 6.7 | 0.09 | 15.7 | 7.60 | 13.5 | 1.40 | 2.00 | 27.8 | 7.7 | 5.7 | 49.0 | 0.9 | 0.61 |
| 1 | 43850 | 5.2 | 4.0 | 1.1 | 11.3 | 0.3 | 9.8 | 4.1 | 0.090 | 21.0 | 5.3 | 6.1 | 0.09 | 2.20 | 19.6 | 14.0 | 2.3 | 46.0 | 0.6 | 0.31 | 7.1 | 5.0 | 0.09 | 12.8 | 1.1 | 13.5 | 11.1 | 0.30 | 6.5 | 10.00 | 23.4 | 1.30 | 0.42 | 21.1 | 0.8 | 6.4 | 56.0 | 0.7 | 0.94 |
| 2 | 43864 | 4.8 | 3.9 | 1.3 | 11.6 | 0.3 | 10.2 | 3.5 | 0.090 | 18.6 | 8.2 | 4.4 | 0.09 | 3.30 | 26.1 | 22.3 | 2.6 | 57.0 | 0.6 | 0.28 | 6.4 | 4.4 | 0.09 | 2.2 | 1.0 | 18.5 | 10.0 | 0.60 | 11.3 | 12.00 | 17.5 | 1.00 | 1.30 | 18.3 | 1.1 | 3.7 | 93.0 | 0.5 | 0.47 |
| 3 | 43879 | 4.8 | 3.7 | 1.4 | 13.3 | 0.4 | 8.2 | 2.8 | 0.090 | 16.0 | 7.2 | 4.0 | 0.09 | 4.20 | 27.1 | 23.9 | 3.4 | 45.0 | 0.6 | 0.27 | 5.5 | 5.7 | 0.09 | 4.5 | 1.4 | 21.9 | 10.1 | 1.30 | 13.9 | 20.00 | 13.2 | 0.10 | 6.10 | 24.4 | 4.5 | 3.8 | 134.0 | 1.0 | 0.13 |
| 4 | 43893 | 4.7 | 3.5 | 1.1 | 11.3 | 0.4 | 7.6 | 2.5 | 0.010 | 14.1 | 6.6 | 3.5 | 0.10 | 3.72 | 24.0 | 23.0 | 3.4 | 38.0 | 0.6 | 0.30 | 5.2 | 6.6 | 0.10 | 11.9 | 1.5 | 22.7 | 9.4 | 1.26 | 23.6 | 21.20 | 11.6 | 0.10 | 9.32 | 31.0 | 11.0 | 6.5 | 113.0 | 1.1 | 0.10 |
| 5 | 43908 | 5.4 | 3.4 | 1.3 | 13.4 | 0.3 | 6.5 | 1.9 | 0.009 | 17.1 | 0.2 | 4.8 | 0.20 | 3.25 | 35.0 | 24.0 | 4.6 | 25.0 | 0.7 | 0.30 | 5.6 | 5.0 | 0.09 | 14.8 | 1.1 | 14.2 | 6.0 | 0.82 | 20.9 | 4.30 | 12.3 | 0.09 | 6.41 | 35.0 | 9.8 | 8.2 | 60.0 | 1.1 | 0.10 |
| 6 | 43921 | 5.6 | 3.1 | 1.2 | 11.0 | 0.2 | 5.6 | 2.0 | 0.009 | 16.9 | 0.3 | 4.1 | 0.10 | 2.74 | 28.0 | 20.0 | 3.8 | 22.0 | 0.6 | 0.30 | 5.4 | 5.3 | 0.09 | 17.9 | 0.7 | 13.4 | 5.1 | 0.59 | 27.1 | 0.10 | 11.0 | 0.09 | 5.60 | 30.0 | 13.0 | 9.5 | 37.0 | 1.1 | 0.10 |
| 7 | 43936 | 5.7 | 2.9 | 1.2 | 9.3 | 0.3 | 6.4 | 2.7 | 0.009 | 16.6 | 1.0 | 3.7 | 0.09 | 2.55 | 27.0 | 20.0 | 3.7 | 32.0 | 0.7 | 0.10 | 5.3 | 5.3 | 0.09 | 13.5 | 0.8 | 15.1 | 6.6 | 0.79 | 30.1 | 0.09 | 11.3 | 0.09 | 5.99 | 27.0 | 15.0 | 8.3 | 66.0 | 0.8 | 0.09 |
| 8 | 43951 | 6.0 | 3.6 | 0.8 | 13.6 | 0.3 | 8.3 | 3.2 | 0.010 | 17.0 | 4.3 | 5.7 | 0.30 | 2.14 | 29.0 | 23.0 | 6.3 | 41.0 | 0.9 | 0.60 | 5.1 | 4.9 | 0.09 | 13.8 | 0.8 | 14.9 | 6.4 | 0.80 | 29.2 | 0.09 | 9.9 | 0.09 | 5.20 | 35.0 | 15.0 | 9.9 | 68.0 | 0.8 | 0.09 |
| 9 | 43963 | 5.7 | 3.0 | 0.8 | 9.1 | 0.2 | 6.2 | 2.1 | 0.010 | 15.7 | 0.9 | 3.7 | 0.09 | 2.66 | 23.0 | 24.0 | 4.1 | 29.0 | 0.8 | 0.50 | 4.8 | 7.2 | 0.09 | 18.6 | 0.9 | 19.0 | 8.1 | 1.11 | 46.1 | 0.20 | 12.3 | 0.09 | 5.99 | 53.0 | 27.0 | 13.0 | 86.0 | 1.0 | 0.09 |